Yuhang Li

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Bio- and Nano-photonics Lab

UCLA

Los Angeles, CA

I am a Ph.D. candidate in Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), working in the Bio- and Nano-photonics Lab under the mentorship of Prof. Aydogan Ozcan. Before joining UCLA, I received my B.Eng. in Optical Science and Engineering from Zhejiang University in 2021.

My research focuses on computational imaging and optical neural networks. I design diffractive optical processors that compute with light — performing tasks such as quantitative phase imaging, imaging through random diffusers, universal polarization transformations, and nonlinear information processing, all at the speed of light propagation. More recently, I have been exploring optical generative models and model-free training of optical processors using reinforcement learning.

My work has been published in journals including Nature, Science, Light: Science & Applications, Advanced Photonics, Nature Communications, and Science Advances, and has been cited over 1,300 times (h-index: 18).

news

Jun 01, 2026 I joined Meta Reality Labs (Redmond, WA) as a Research Scientist Intern for Summer 2026. 🚀
Jan 15, 2026 Our paper on model-free optical processors using in situ reinforcement learning was published in Light: Science & Applications! 🔦
Aug 27, 2025 Our work on optical generative models was published in Nature! ✨
Oct 15, 2024 I was selected as a finalist in the Emil Wolf Outstanding Student Paper Competition at Frontiers in Optics + Laser Science (FiO LS) 2024.
Mar 15, 2024 I advanced to doctoral candidacy at UCLA. 🎓

selected publications

  1. LSA
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    Model-free optical processors using in situ reinforcement learning with proximal policy optimization
    Yuhang Li, Shiqi Chen, Tianhao Gong, and 1 more author
    Light: Science & Applications, 2026
  2. Optical generative models
    Shiqi Chen, Yuhang Li, Yuntian Wang, and 2 more authors
    Nature, 2025
  3. Training of physical neural networks
    Ali Momeni, Babak Rahmani, Benjamin Scellier, and 25 more authors
    Nature, 2025
  4. Spectral kernel machines with electrically tunable photodetectors
    Dehui Zhang, Yuhang Li, Jingxuan Geng, and 11 more authors
    Science, 2025
  5. LSA
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    Nonlinear encoding in diffractive information processing using linear optical materials
    Yuhang Li, Jingxi Li, and Aydogan Ozcan
    Light: Science & Applications, 2024
  6. Light Adv. Manuf.
    Quantitative phase imaging (QPI) through random diffusers using a diffractive optical network
    Yuhang Li, Yi Luo, Deniz Mengu, and 2 more authors
    Light: Advanced Manufacturing, 2023
  7. Adv. Mater.
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    Universal polarization transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
    Yuhang Li, Jingxi Li, Yifan Zhao, and 4 more authors
    Advanced Materials, 2023